One good thing about COVID-19 is that it taught people that online work and study are possible. I remember a week before the lockdown started, everyone said that working online was impossible, not secure, etc. And what do you know, it all became possible and "secure" in the blink of an eye. As with everything, it depends on whether a person is capable of organizing his or her day and their work or study attitude. Thus, I became a great believer in online education. As an associate professor who teaches databases, I find it beneficial to my schedule and students. One thing that studying online brings is flexibility. Another one is accepting third-party courses to grant credits to my students 😉

Considering that I'm teaching the basics of IRIS, I thought a new course, Getting Started with InterSystems IRIS for Coders, could be a relevant addition to my course. Therefore, I decided to follow the new Learning Path and see how it corresponds to my Syllabus and how many ECTS credits I can give for finishing it.

It's been a while since I've posted about Embedded Git on the Developer Community, and I'd like to provide an update on the massive amount of work we've done this year and where we're going next.

Context

If you're building solutions on IRIS and want to use Git, that's great! Just use VSCode with a local git repo and push your changes out to the server - it's that easy.

But what if:

In the previous article we presented the d[IA]gnosis application developed to support the coding of diagnoses in ICD-10. In this article we will see how InterSystems IRIS for Health provides us with the necessary tools for the generation of vectors from the ICD-10 code list using a pre-trained language model, its storage and the subsequent search for similarities on all these generated vectors.

Using OpenEHR with InterSystems IRIS

Occasionally. we get questions about using OpenEHR with InterSystems. Typically, these discussions focus on why and how an organization wants to implement OpenEHR in building applications. Here’s a brief guide:

When working with InterSystems IRIS, database developers and architects often face a critical decision: whether to use Dynamic SQL or Embedded SQL for querying and updating data. Both methods have their unique strengths and use cases, but understanding their performance implications is essential to making the right choice. Response time, a key metric in evaluating application performance, can vary significantly depending on the SQL approach used. Dynamic SQL offers flexibility, as queries can be constructed and executed at runtime, making it ideal for scenarios with unpredictable or highly variable query needs. Conversely, Embedded SQL emphasizes stability and efficiency by integrating SQL code directly into application logic, offering optimized response times for predefined query patterns.

In this article, I will explore the response times when using these two types of SQL and how they depend on different class structures and usage of parameters. So to do this, I'm going to use the following classes from the diagram:

Hi Community,

It's time to announce the winners of the Developer Tools Contest!

Thanks to all our amazing participants who submitted 17 applications 🔥

Now it's time to announce the winners!

The InterSystems IRIS data platform underlies all InterSystems applications, as well as thousands of customer and partner applications across Healthcare, Financial Services, Supply Chain, and other ecosystems. It is a converged platform, providing transactional-analytical data management, integrated interoperability, and data integration, as well as integrated analytics and AI. It supports the InterSystems Smart Data Fabric approach to managing diverse and distributed data.

Hello Community,

In this article, I will outline and illustrate the process of implementing ObjectScript within embedded Python. This discussion will also reference other articles related to embedded Python, as well as address questions that have been beneficial to my learning journey.

As you may know, the integration of Python features within IRIS has been possible for quite some time. This article will focus on how to seamlessly incorporate ObjectScript with embedded Python.

Many programming languages use the try-and-catch construct to handle runtime errors gracefully. If the code within the try block encounters an error, it will throw an exception to the catch block, where the error handling occurs.

User-defined aggregate functions have been supported in IRIS since 2021.1.0. I'd wished upon a star for these years ago before finding a secret hacky way to override MAX and MIN in a custom datatype, but didn't get a chance to actually try one out until today.

Welcome to the Q4’2024 quarterly platforms update. I hope that your 2024 has been incredible and that 2025 is even better.

If you’re new to these updates, welcome! This update aims to share recent changes as well as our best current knowledge on upcoming changes, but predicting the future is tricky business and this shouldn’t be considered a committed roadmap.

Dear community, I have a confession to make. I have not gotten over Zen yet. Alas, all good things must come to an EOF, so I am currently learning about Angular. I am working on proving to myself that with the right back end and Angular components, I can deliver to myself and my team a very Zen-like experience in this environment.